A cognitive retraining clinic assists outpatient victims of
Solution
Step 1: Definition of Hypothesis
Significance Level = 0.1 = Alpha
Confidence Interval = 1 - Alpha = 0.9
Null Hypothesis: Difference between mean of Team A and B is zero.
Alternative Hypothesis: Difference between mean of Team A and B is not zero.
Step 2: Computation of Difference
Mean of Difference (dBar) is -2.5
Sample standard deviation of difference(s) is 4.9082
Sample size(n) is 12.
Step 3: Calculation of Statistic Parameters
In this problem, degree of freedom (df) = 11
For df=11, alpha=0.1 and two tailed test, corresponding t value is +/- 1.796 [Looked up from t-table]
Formula for t-statistic is dBar - D / ( s / sqrt(n) )
D = Population Difference = 0 (Assumed in this problem)
t = -2.5 / (4.9082 / sqrt(12) ) = -1.76444
Step 4: Acceptance or rejection using t-statistic
Since t-statistic lies in the range (-1.796,1.796), Null hypothesis cannot be rejected.
b ) Calculation of p-value
Since we are conducting two tailed test, p - value should be calculated as 2 * P(t < -1.7644)
-1.7644 is the t-statistic value calculated.
P-Value = 2 * P(t < -1.7644) = 2*0.0526 = 0.1053
P-Value is slightly higher than significance level alpha. Hence, Null hypothesis can\'t be rejected.
c) Assumed that values are normally distributed
d) Minitab is a paid software, hence unable to use it. Can support with R output if necessary.
| Team/Patient | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| A | 24 | 24 | 52 | 30 | 40 | 30 | 18 | 30 | 18 | 40 | 24 | 12 |
| B | 24 | 20 | 52 | 36 | 36 | 36 | 24 | 36 | 16 | 52 | 24 | 16 |
| Difference | 0 | 4 | 0 | -6 | 4 | -6 | -6 | -6 | 2 | -12 | 0 | -4 |
